👤 Jinjian Yang

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
2090
Articles
1288
Name variants
Also published as: A Yang, A-Li Yang, Acong Yang, Ai-Lun Yang, Aige Yang, Airong Yang, Aiting Yang, Aizhen Yang, Albert C Yang, Alex J T Yang, An-Qi Yang, Andrew Yang, Angang Yang, Angela Wei Hong Yang, Anni Yang, Aram Yang, B Yang, Baigao Yang, Baixia Yang, Bangjia Yang, Bao Yang, Baofeng Yang, Baoli Yang, Baoxin Yang, Baoxue Yang, Bei Yang, Beibei Yang, Biao Yang, Bin Q Yang, Bin Yang, Bing Xiang Yang, Bing Yang, Bingyu Yang, Bo Yang, Bohui Yang, Boo-Keun Yang, Bowen Yang, Boya Yang, Burton B Yang, Byoung Chul Yang, Caimei Yang, Caixia Yang, Caixian Yang, Caixin Yang, Can Yang, Canchai Yang, Ce Yang, Celi Yang, Chan Mo Yang, Chan-Mo Yang, Chang Yang, Chang-Hao Yang, Changheng Yang, Changqing Yang, Changsheng Yang, Changwei Yang, Changyun Yang, Chanjuan Yang, Chao Yang, Chao-Yuh Yang, Chaobo Yang, Chaofei Yang, Chaogang Yang, Chaojie Yang, Chaolong Yang, Chaoping Yang, Chaoqin Yang, Chaoqun Yang, Chaowu Yang, Chaoyun Yang, Chaozhe Yang, Chen Die Yang, Chen Yang, Cheng Yang, Cheng-Gang Yang, Chengfang Yang, Chenghao Yang, Chengkai Yang, Chengkun Yang, Chengran Yang, Chenguang Yang, Chengyingjie Yang, Chengzhang Yang, Chensi Yang, Chensu Yang, Chenxi Yang, Chenyu Yang, Chenzi Yang, Chi Yang, Chia-Wei Yang, Chieh-Hsin Yang, Chien-Wen Yang, Chih-Hao Yang, Chih-Min Yang, Chih-Yu Yang, Chihyu Yang, Ching-Fen Yang, Ching-Wen Yang, Chongmeng Yang, Chuan He Yang, Chuan Yang, Chuanbin Yang, Chuang Yang, Chuanli Yang, Chuhu Yang, Chun Yang, Chun-Chun Yang, Chun-Mao Yang, Chun-Seok Yang, Chunbaixue Yang, Chung-Hsiang Yang, Chung-Shi Yang, Chung-Yi Yang, Chunhua Yang, Chunhui Yang, Chunjie Yang, Chunjun Yang, Chunlei Yang, Chunli Yang, Chunmao Yang, Chunping Yang, Chunqing Yang, Chunru Yang, Chunxiao Yang, Chunyan Yang, Chunyu Yang, Congyi Yang, Cui Yang, Cuiwei Yang, Cunming Yang, Dai-Qin Yang, Dan Yang, Dan-Dan Yang, Dan-Hui Yang, Dandan Yang, Danlu Yang, Danrong Yang, Danzhou Yang, Dapeng Yang, De-Hua Yang, De-Zhai Yang, Decao Yang, Defu Yang, Deguang Yang, Dehao Yang, Dehua Yang, Dejun Yang, Deli Yang, Dengfa Yang, Deok Chun Yang, Deshuang Yang, Di Yang, Dianqiang Yang, Ding Yang, Ding-I Yang, Diya Yang, Diyuan Yang, Dong Yang, Dong-Hua Yang, Dongfeng Yang, Dongjie Yang, Dongliang Yang, Dongmei Yang, Dongren Yang, Dongshan Yang, Dongwei Yang, Dongwen Yang, DuJiang Yang, Eddy S Yang, Edwin Yang, Ei-Wen Yang, Emily Yang, Enlu Yang, Enzhi Yang, Eric Yang, Eryan Yang, Ethan Yang, Eunho Yang, Fajun Yang, Fan Yang, Fang Yang, Fang-Ji Yang, Fang-Kun Yang, Fei Yang, Feilong Yang, Feiran Yang, Feixiang Yang, Fen Yang, Feng Yang, Feng-Ming Yang, Feng-Yun Yang, Fengjie Yang, Fengjiu Yang, Fengjuan Yang, Fenglian Yang, Fengling Yang, Fengping Yang, Fengying Yang, Fengyong Yang, Fu Yang, Fude Yang, Fuhe Yang, Fuhuang Yang, Fumin Yang, Fuquan Yang, Furong Yang, Fuxia Yang, Fuyao Yang, G Y Yang, G Yang, Gan Yang, Gang Yang, Gangyi Yang, Gao Yang, Gaohong Yang, Gaoxiang Yang, Ge Yang, Gong Yang, Gong-Li Yang, Grace H Y Yang, Guan Yang, Guang Yang, Guangdong Yang, Guangli Yang, Guangwei Yang, Guangyan Yang, Guanlin Yang, Gui-Zhi Yang, Guigang Yang, Guitao Yang, Guo Yang, Guo-Can Yang, Guobin Yang, Guofen Yang, Guojun Yang, Guokun Yang, Guoli Yang, Guomei Yang, Guoping Yang, Guoqi Yang, Guosheng Yang, Guotao Yang, Guowang Yang, Guowei Yang, H X Yang, H Yang, Hai Yang, Hai-Chun Yang, Haibo Yang, Haihong Yang, Haikun Yang, Hailei Yang, Hailing Yang, Haiming Yang, Haiping Yang, Haiqiang Yang, Haitao Yang, Haixia Yang, Haiyan Yang, Haiying Yang, Han Yang, Hanchen Yang, Handong Yang, Hang Yang, Hannah Yang, Hanseul Yang, Hanteng Yang, Hao Yang, Hao-Jan Yang, HaoXiang Yang, Haojie Yang, Haolan Yang, Haoqing Yang, Haoran Yang, Haoyu Yang, Harrison Hao Yang, Hee Joo Yang, Heng Yang, Hengwen Yang, Henry Yang, Heqi Yang, Heyi Yang, Heyun Yang, Hoe-Saeng Yang, Hong Yang, Hong-Fa Yang, Hong-Li Yang, HongMei Yang, Hongbing Yang, Hongbo Yang, Hongfa Yang, Honghong Yang, Hongjie Yang, Hongjun Yang, Hongli Yang, Hongling Yang, Hongqun Yang, Hongxia Yang, Hongxin Yang, Hongyan Yang, Hongyu Yang, Hongyuan Yang, Hongyue Yang, Howard H Yang, Howard Yang, Hsin-Chou Yang, Hsin-Jung Yang, Hsin-Sheng Yang, Hua Yang, Hua-Yuan Yang, Huabing Yang, Huafang Yang, Huaijie Yang, Huan Yang, Huanhuan Yang, Huanjie Yang, Huanming Yang, Huansheng Yang, Huanyi Yang, Huarong Yang, Huaxiao Yang, Huazhao Yang, Hui Yang, Hui-Ju Yang, Hui-Li Yang, Hui-Ting Yang, Hui-Yu Yang, Hui-Yun Yang, Huifang Yang, Huihui Yang, Huijia Yang, Huijie Yang, Huiping Yang, Huiran Yang, Huixia Yang, Huiyu Yang, Hung-Chih Yang, Hwai-I Yang, Hye Jeong Yang, Hyerim Yang, Hyun Suk Yang, Hyun-Sik Yang, Ill Yang, Ivana V Yang, J S Yang, J Yang, James Y Yang, Jaw-Ji Yang, Jee Sun Yang, Jenny J Yang, Jerry Yang, Ji Hye Yang, Ji Yang, Ji Yeong Yang, Ji-chun Yang, Jia Yang, Jia-Ling Yang, Jia-Ying Yang, Jiahong Yang, Jiahui Yang, Jiajia Yang, Jiakai Yang, Jiali Yang, Jialiang Yang, Jian Yang, Jian-Bo Yang, Jian-Jun Yang, Jian-Ming Yang, Jian-Ye Yang, JianHua Yang, JianJun Yang, Jianbo Yang, Jiang-Min Yang, Jiang-Yan Yang, Jianing Yang, Jianke Yang, Jianli Yang, Jianlou Yang, Jianmin Yang, Jianming Yang, Jianqi Yang, Jianwei Yang, Jianyu Yang, Jiao Yang, Jiarui Yang, Jiawei Yang, Jiaxin Yang, Jiayan Yang, Jiayi Yang, Jiaying Yang, Jiayue Yang, Jichun Yang, Jie Yang, Jie-Cheng Yang, Jie-Hong Yang, Jie-Kai Yang, Jiefeng Yang, Jiehong Yang, Jieping Yang, Jiexiang Yang, Jihong Yang, Jimin Yang, Jin Yang, Jin-Jian Yang, Jin-Kui Yang, Jin-gang Yang, Jin-ju Yang, Jinan Yang, Jinfeng Yang, Jing Yang, Jing-Quan Yang, Jing-Yu Yang, Jingang Yang, Jingfeng Yang, Jinggang Yang, Jinghua Yang, Jinghui Yang, Jingjing Yang, Jingmin Yang, Jingping Yang, Jingran Yang, Jingshi Yang, Jingwen Yang, Jingya Yang, Jingyan Yang, Jingyao Yang, Jingye Yang, Jingyu Yang, Jingyun Yang, Jingze Yang, Jinhua Yang, Jinhui Yang, Jinpeng Yang, Jinru Yang, Jinshan Yang, Jinsong Yang, Jinsung Yang, Jinwen Yang, Jinzhao Yang, Jiong Yang, Ju Dong Yang, Ju Young Yang, Juan Yang, Juesheng Yang, Jumei Yang, Jun J Yang, Jun Yang, Jun-Hua Yang, Jun-Xia Yang, Jun-Xing Yang, Junbo Yang, Jung Dug Yang, Jung Wook Yang, Jung-Ho Yang, Junhan Yang, Junjie Yang, Junlin Yang, Junlu Yang, Junping Yang, Juntao Yang, Junyao Yang, Junyi Yang, Kai Yang, Kai-Chien Yang, Kai-Chun Yang, Kaidi Yang, Kaifeng Yang, Kaijie Yang, Kaili Yang, Kailin Yang, Kaiwen Yang, Kang Yang, Kang Yi Yang, Kangning Yang, Karen Yang, Ke Yang, Keming Yang, Keping Yang, Kexin Yang, Kuang-Yao Yang, Kui Yang, Kun Yang, Kunao Yang, Kunqi Yang, Kunyu Yang, Kuo Tai Yang, L Yang, Lamei Yang, Lan Yang, Le Yang, Lei Yang, Lexin Yang, Leyi Yang, Li Chun Yang, Li Yang, Li-Kun Yang, Li-Qin Yang, Li-li Yang, LiMan Yang, Lian-he Yang, Liang Yang, Liang-Yo Yang, Liangbin Yang, Liangle Yang, Liangliang Yang, Lichao Yang, Lichuan Yang, Licong Yang, Liehao Yang, Lihong Yang, Lihua Yang, Lihuizi Yang, Lijia Yang, Lijie Yang, Lijuan Yang, Lijun Yang, Lili Yang, Lin Sheng Yang, Lin Yang, Lina Yang, Ling Ling Yang, Ling Yang, Lingfeng Yang, Lingling Yang, Lingzhi Yang, Linlin Yang, Linnan Yang, Linqing Yang, Linquan Yang, Lipeng Yang, Liping Yang, Liting Yang, Liu Yang, Liu-Kun Yang, LiuMing Yang, Liuliu Yang, Liwei Yang, Lixian Yang, Lixue Yang, Long In Yang, Long Yang, Long-Yan Yang, Longbao Yang, Longjun Yang, Longyan Yang, Lu M Yang, Lu Yang, Lu-Hui Yang, Lu-Kun Yang, Lu-Qin Yang, Luda Yang, Man Yang, Manqing Yang, Maojie Yang, Maoquan Yang, Mei Yang, Meichan Yang, Meihua Yang, Meili Yang, Meiting Yang, Meixiang Yang, Meiying Yang, Meng Yang, Menghan Yang, Menghua Yang, Mengjie Yang, Mengli Yang, Mengliu Yang, Mengmeng Yang, Mengsu Yang, Mengwei Yang, Mengying Yang, Miaomiao Yang, Mickey Yang, Min Hee Yang, Min Yang, Mina Yang, Ming Yang, Ming-Hui Yang, Ming-Yan Yang, Minghui Yang, Mingjia Yang, Mingjie Yang, Mingjun Yang, Mingli Yang, Mingqian Yang, Mingshi Yang, Mingyan Yang, Mingyu Yang, Minyi Yang, Misun Yang, Mu Yang, Muh-Hwa Yang, Na Yang, Nan Yang, Nana Yang, Nanfei Yang, Neil V Yang, Ni Yang, Ning Yang, Ningjie Yang, Ningli Yang, Pan Yang, Pan-Chyr Yang, Paul Yang, Peichang Yang, Peiran Yang, Peiyan Yang, Peiying Yang, Peiyuan Yang, Peizeng Yang, Peng Yang, Peng-Fei Yang, PengXiang Yang, Pengfei Yang, Penghui Yang, Pengwei Yang, Pengyu Yang, Phillip C Yang, Pin Yang, Ping Yang, Ping-Fen Yang, Pinghong Yang, Pu Yang, Q H Yang, Q Yang, Qi Yang, Qi-En Yang, Qian Yang, Qian-Jiao Yang, Qian-Li Yang, QianKun Yang, Qiang Yang, Qianhong Yang, Qianqian Yang, Qianru Yang, Qiaoli Yang, Qiaorong Yang, Qiaoyuan Yang, Qifan Yang, Qifeng Yang, Qiman Yang, Qimeng Yang, Qiming Yang, Qin Yang, Qinbo Yang, Qing Yang, Qing-Cheng Yang, Qingcheng Yang, Qinghu Yang, Qingkai Yang, Qinglin Yang, Qingling Yang, Qingmo Yang, Qingqing Yang, Qingtao Yang, Qingwu Yang, Qingya Yang, Qingyan Yang, Qingyi Yang, Qingyu Yang, Qingyuan Yang, Qiong Yang, Qiu Yang, Qiu-Yan Yang, Qiuhua Yang, Qiuhui Yang, Qiulan Yang, Qiuli Yang, Qiuxia Yang, Qiwei Yang, Qiwen Yang, Quan Yang, Quanjun Yang, Quanli Yang, Qun-Fang Yang, R Yang, Ran Yang, Ren-Zhi Yang, Renchi Yang, Renhua Yang, Renjun Yang, Renqiang Yang, Renzhi Yang, Ri-Yao Yang, Richard K Yang, Robert Yang, Rong Yang, Rongrong Yang, Rongxi Yang, Rongyuan Yang, Rongze Yang, Rui Xu Yang, Rui Yang, Rui-Xu Yang, Rui-Yi Yang, Ruicheng Yang, Ruifang Yang, Ruihua Yang, Ruilan Yang, Ruili Yang, Ruiqin Yang, Ruirui Yang, Ruiwei Yang, Rulai Yang, Ruming Yang, Run Yang, Runjun Yang, Runxu Yang, Runyu Yang, Runzhou Yang, Ruocong Yang, Ruoyun Yang, Ruyu Yang, S J Yang, Se-Ran Yang, Sen Yang, Senwen Yang, Seung Yun Yang, Seung-Jo Yang, Seung-Ok Yang, Shan Yang, Shangchen Yang, Shanghua Yang, Shangwen Yang, Shanzheng Yang, Shao-Hua Yang, Shaobin Yang, Shaohua Yang, Shaoling Yang, Shaoqi Yang, Shaoqing Yang, Sheng Sheng Yang, Sheng Yang, Sheng-Huei Yang, Sheng-Qian Yang, Sheng-Wu Yang, ShengHui Yang, Shenglin Yang, Shengnan Yang, Shengqian Yang, Shengyong Yang, Shengzhuang Yang, Shenhui Yang, Shi-Ming Yang, Shiaw-Der Yang, Shifeng Yang, Shigao Yang, Shijie Yang, Shiming Yang, Shipeng Yang, Shiping Yang, Shiu-Ju Yang, Shiyi Yang, Shizhong Yang, Shizhuo Yang, Shu Yang, ShuSheng Yang, Shuai Yang, Shuaibing Yang, Shuaini Yang, Shuang Yang, Shuangshuang Yang, Shucai Yang, Shufang Yang, Shuhua Yang, Shujuan Yang, Shujun Yang, Shulan Yang, Shulin Yang, Shuming Yang, Shun-Fa Yang, Shuo Yang, Shuofei Yang, Shuping Yang, Shuqi Yang, Shuquan Yang, Shurong Yang, Shushen Yang, Shuye Yang, Shuyu Yang, Si Yang, Si-Fu Yang, Sibao Yang, Sibo Yang, Sichong Yang, Sihui Yang, Sijia Yang, Siqi Yang, Sirui Yang, Sisi Yang, Sitao Yang, Siwen Yang, Siyi Yang, Siyu Yang, Sizhen Yang, Sizhu Yang, Song Yang, Song-na Yang, Songpeng Yang, Songye Yang, Soo Hyun Yang, Su Yang, Su-Geun Yang, Suhong Yang, Sujae Yang, Sujuan Yang, Suk-Kyun Yang, Sun Kyung Yang, Suwol Yang, Suxia Yang, Suyi Yang, Suyu Yang, Tai-Hui Yang, Tailai Yang, Tao Yang, Tengyun Yang, Thomas P Yang, Ti Yang, Tian Yang, Tianbao Yang, Tianfeng Yang, Tianjie Yang, Tianmin Yang, Tianpeng Yang, Tianqiong Yang, Tiantian Yang, Tianxin Yang, Tianyou Yang, Tianyu Yang, Tianze Yang, Tianzhong Yang, Ting Yang, Ting-Xian Yang, Tingting Yang, Tingyu Yang, Tong Yang, Tong Yi Yang, Tong-Xin Yang, Tonglin Yang, Tongren Yang, Tuanmin Yang, Ueng-Cheng Yang, W Yang, Wan-Chen Yang, Wan-Jung Yang, Wang Yang, Wannian Yang, Wei Qiang Yang, Wei Yang, Wei-Fa Yang, Wei-Xin Yang, Weidong Yang, Weiguang Yang, Weihan Yang, Weijian Yang, Weili Yang, Weimin Yang, Weiran Yang, Weiwei Yang, Weixian Yang, Weizhong Yang, Wen Yang, Wen Z Yang, Wen-Bin Yang, Wen-Chin Yang, Wen-He Yang, Wen-Hsuan Yang, Wen-Ming Yang, Wen-Wen Yang, Wen-Xiao Yang, WenKai Yang, Wenbo Yang, Wenchao Yang, Wending Yang, Wenfei Yang, Wenhong Yang, Wenhua Yang, Wenhui Yang, Wenjian Yang, Wenjie Yang, Wenjing Yang, Wenjuan Yang, Wenjun Yang, Wenli Yang, Wenlin Yang, Wenming Yang, Wenqin Yang, Wenshan Yang, Wentao Yang, Wenwen Yang, Wenwu Yang, Wenxin Yang, Wenxing Yang, Wenying Yang, Wenzhi Yang, Wenzhu Yang, William Yang, Woong-Suk Yang, Wu Yang, Wu-de Yang, X Yang, X-J Yang, Xi Yang, Xi-You Yang, Xia Yang, Xian Yang, Xiang Yang, Xiang-Hong Yang, Xiang-Jun Yang, Xianggui Yang, Xianghong Yang, Xiangliang Yang, Xiangling Yang, Xiangqiong Yang, Xiangxiang Yang, Xiangyu Yang, Xiao Yang, Xiao-Dong Yang, Xiao-Fang Yang, Xiao-Hong Yang, Xiao-Jie Yang, Xiao-Juan Yang, Xiao-Meng Yang, Xiao-Ming Yang, Xiao-Qian Yang, Xiao-Yan Yang, Xiao-Ying Yang, Xiao-Yu Yang, Xiao-guang Yang, XiaoYan Yang, Xiaoao Yang, Xiaobin Yang, Xiaobo Yang, Xiaochen Yang, Xiaodan Yang, Xiaodi Yang, Xiaodong Yang, Xiaofei Yang, Xiaofeng Yang, Xiaohao Yang, Xiaohe Yang, Xiaohong R Yang, Xiaohong Yang, Xiaohuang Yang, Xiaohui Yang, Xiaojian Yang, Xiaojie Yang, Xiaojing Yang, Xiaojuan Yang, Xiaojun Yang, Xiaoli Yang, Xiaolu Yang, Xiaomeng Yang, Xiaoming Yang, Xiaonan Yang, Xiaoping Yang, Xiaoqian Yang, Xiaoqin Yang, Xiaoqun Yang, Xiaorong Yang, Xiaoshan Yang, Xiaoshi Yang, Xiaosong Yang, Xiaotian Yang, Xiaotong Yang, Xiaowei Yang, Xiaowen Yang, Xiaoxiao Yang, Xiaoxin Yang, Xiaoxu Yang, Xiaoyao Yang, Xiaoyi Yang, Xiaoyong Yang, Xiaoyu Yang, Xiaoyun Yang, Xiaozhen Yang, Xifei Yang, Xiling Yang, Ximan Yang, Xin Yang, Xin-He Yang, Xin-Yu Yang, Xin-Zhuang Yang, Xing Yang, Xinghai Yang, Xinglong Yang, Xingmao Yang, Xingming Yang, Xingsheng Yang, Xingyu Yang, Xingyue Yang, Xingzhi Yang, Xinjing Yang, Xinming Yang, Xinpu Yang, Xinwang Yang, Xinxin Yang, Xinyan Yang, Xinyi Yang, Xinyu Yang, Xinyue Yang, Xiong Ling Yang, Xiru Yang, Xitong Yang, Xiu Hong Yang, Xiuhua Yang, Xiulin Yang, Xiuna Yang, Xiuqin Yang, Xiurong Yang, Xiuwei Yang, Xiwen Yang, Xiyue Yang, Xu Yang, Xuan Yang, Xue Yang, Xue-Feng Yang, Xue-Ping Yang, Xuecheng Yang, Xuehan Yang, Xuejing Yang, Xuejun Yang, Xueli Yang, Xuena Yang, Xueping Yang, Xuesong Yang, Xuhan Yang, Xuhui Yang, Xuping Yang, Xuyang Yang, Y C Yang, Y F Yang, Y L Yang, Y P Yang, Y Q Yang, Y Yang, Y-T Yang, Ya Yang, Ya-Chen Yang, Yadong Yang, Yafang Yang, Yajie Yang, Yalan Yang, Yali Yang, Yaming Yang, Yan Yang, Yan-Bei Yang, Yan-Ling Yang, Yanan Yang, Yanfang Yang, Yang Yang, Yangfan Yang, Yangyang Yang, Yanhui Yang, Yanjianxiong Yang, Yanling Yang, Yanmei Yang, Yanmin Yang, Yanping Yang, Yanru Yang, Yanting Yang, Yanyan Yang, Yanzhen Yang, Yaorui Yang, Yaping Yang, Yaqi Yang, Yaxi Yang, Ye Yang, Yefa Yang, Yefeng Yang, Yeqing Yang, Yexin Yang, Yi Yang, Yi-Chieh Yang, Yi-Fang Yang, Yi-Feng Yang, Yi-Liang Yang, Yi-Ping Yang, Yi-ning Yang, Yibing Yang, Yichen Yang, Yidong Yang, Yifan Yang, Yifang Yang, Yifei Yang, Yifeng Yang, Yihe Yang, Yijie Yang, Yilian Yang, Yimei Yang, Yimin Yang, Yiming Yang, Yimu Yang, Yin-Rong Yang, Yinfeng Yang, Ying Yang, Ying-Hua Yang, Ying-Ying Yang, Yingdi Yang, Yingjun Yang, Yingqing Yang, Yingrui Yang, Yingxia Yang, Yingyu Yang, Yinhua Yang, Yining Yang, Yinxi Yang, Yiping Yang, Yiting Yang, Yiyi Yang, Yiying Yang, Yong Yang, Yong-Yu Yang, Yongfeng Yang, Yongguang Yang, Yonghong Yang, Yonghui Yang, Yongjia Yang, Yongjie Yang, Yongkang Yang, Yongqiang Yang, Yongsan Yang, Yongxin Yang, Yongxing Yang, Yongzhong Yang, Yoon La Yang, Yoon Mee Yang, Youhua Yang, YoungSoon Yang, Yu Yang, Yu-Fan Yang, Yu-Feng Yang, Yu-Jie Yang, Yu-Shi Yang, Yu-Tao Yang, Yu-Ting Yang, Yuan Yang, Yuan-Han Yang, Yuan-Jian Yang, Yuanhao Yang, Yuanjin Yang, Yuanquan Yang, Yuanrong Yang, Yuanying Yang, Yuanzhang Yang, Yuanzhi Yang, Yuchen Yang, Yucheng Yang, Yue Yang, Yueh-Ning Yang, Yuejin Yang, Yuexiang Yang, Yueze Yang, Yufan Yang, Yuhan Yang, Yuhang Yang, Yuhua Yang, Yujie Yang, Yujing Yang, Yulin Yang, Yuling Yang, Yulong Yang, Yun Yang, YunKai Yang, Yunfan Yang, Yung-Li Yang, Yunhai Yang, Yunlong Yang, Yunmei Yang, Yunwen Yang, Yunyun Yang, Yunzhao Yang, Yupeng Yang, Yuqi Yang, Yuta Yang, Yutao Yang, Yuting Yang, Yutong Yang, Yuwei Yang, Yuxi Yang, Yuxing Yang, Yuxiu Yang, Yuyan Yang, Yuyao Yang, Yuying Yang, Z Yang, Zaibin Yang, Zaiming Yang, Zaiqing Yang, Zanhao Yang, Ze Yang, Zemin Yang, Zeng-Ming Yang, Zengqiang Yang, Zengqiao Yang, Zeyu Yang, Zhang Yang, Zhangping Yang, Zhanyi Yang, Zhao Yang, Zhao-Na Yang, Zhaojie Yang, Zhaoli Yang, Zhaoxin Yang, Zhaoyang Yang, Zhaoyi Yang, Zhehan Yang, Zheming Yang, Zhen Yang, Zheng Yang, Zheng-Fei Yang, Zheng-lin Yang, Zhenglin Yang, Zhengqian Yang, Zhengtao Yang, Zhenguo Yang, Zhengyan Yang, Zhengzheng Yang, Zhengzhong Yang, Zhenhua Yang, Zhenjun Yang, Zhenmei Yang, Zhenqi Yang, Zhenrong Yang, Zhenwei Yang, Zhenxing Yang, Zhenyun Yang, Zhenzhen Yang, Zheyu Yang, Zhi Yang, Zhi-Can Yang, Zhi-Hong Yang, Zhi-Jun Yang, Zhi-Min Yang, Zhi-Ming Yang, Zhi-Rui Yang, Zhibo Yang, Zhichao Yang, Zhifen Yang, Zhigang Yang, Zhihang Yang, Zhihong Yang, Zhikuan Yang, Zhikun Yang, Zhimin Yang, Zhiming Yang, Zhiqiang Yang, Zhitao Yang, Zhiwei Yang, Zhixin Yang, Zhiyan Yang, Zhiyong Yang, Zhiyou Yang, Zhiyuan Yang, Zhongan Yang, Zhongfang Yang, Zhonghua Yang, Zhonghui Yang, Zhongli Yang, Zhongshu Yang, Zhongzhou Yang, Zhou Yang, Zhuliang Yang, Zhuo Yang, Zhuoya Yang, Zhuoyu Yang, Zi F Yang, Zi Yang, Zi-Han Yang, Zi-Wei Yang, Zicong Yang, Zifeng Yang, Zihan Yang, Ziheng Yang, Zijiang Yang, Zishan Yang, Zixia Yang, Zixuan Yang, Ziying Yang, Ziyou Yang, Ziyu Yang, Zong-de Yang, Zongfang Yang, Zongyu Yang, Zunxian Yang, Zuozhen Yang
articles
Santica Marcovina, Spenser Smith, Joyce Kornel +2 more · 2026 · Journal of lipid research · Elsevier · added 2026-04-24
Oxidized phospholipids (OxPL) are bioactive lipid species that circulate bound to apolipoprotein B-100 [apoB] and apolipoprotein(a) [apo(a)] and have been widely studied as biomarkers of oxidative lip Show more
Oxidized phospholipids (OxPL) are bioactive lipid species that circulate bound to apolipoprotein B-100 [apoB] and apolipoprotein(a) [apo(a)] and have been widely studied as biomarkers of oxidative lipid burden. When bound to apolipoprotein B-100 [OxPL-apoB] and apolipoprotein(a) [OxPL-apo(a)], they serve as informative biomarkers for CVD risk prediction, risk reclassification, and therapeutic monitoring, particularly in studies involving RNA-targeted therapies against lipoprotein(a). To date, measurement of OxPL-apoB and OxPL-apo(a) has been limited to research-use assays performed in an academic laboratory without formal clinical laboratory validation. Here we report the first full CLIA-compliant analytical validation of chemiluminescent ELISA methods for OxPL-apoB and OxPL-apo(a), enabling their implementation in a regulated clinical reference laboratory setting. The OxPL-apoB ELISA employs murine monoclonal IgG antibody MB47 to capture apoB-100-containing lipoproteins, while the OxPL-apo(a) employs murine monoclonal IgG antibody LPA4 to capture apo(a)-containing particles. In both assays, OxPL is detected by murine monoclonal IgM antibody biotin-E06. The concentration of OxPL is determined against a standard curve of phosphocholine (PC) equivalents using PC-modified bovine serum albumin. The analytical measuring range of both assays is 1.48-148.48 nmol/L PC-OxPL. Serum and plasma matrices showed minimal bias and were analytically equivalent. In healthy donors, OxPL-apoB levels ranged from <1.48 to 25.23 nmol/L PC-OxPL (mean 4.18, median 1.79 nmol/L), while OxPL-apo(a) levels ranged from <1.48 to 126.94 nmol/L PC-OxPL (mean 31.04, median 6.90 nmol/L), with strong correlation to Lp(a) concentrations (R Show less
📄 PDF DOI: 10.1016/j.jlr.2026.100976
APOB
Xinyi Li, Aige Yang, Xiao Liu +2 more · 2026 · Journal of hypertension · added 2026-04-24
Diabetic lower extremity arterial disease (LEAD) is a manifestation of diabetic lower extremity vascular complications. This study aimed to screen the key single nucleotide polymorphism (SNP) gene sig Show more
Diabetic lower extremity arterial disease (LEAD) is a manifestation of diabetic lower extremity vascular complications. This study aimed to screen the key single nucleotide polymorphism (SNP) gene signature in patients with type 2 diabetes mellitus (T2DM) and LEAD. A total of 147 patients with T2DM complicated by LEAD and 144 patients with T2DM without LEAD were enrolled for transcriptome sequencing. The Plink software was used to preprocess the data. Five machine learning methods were adopted to build the SNP diagnosis models. The receiver operating characteristic (ROC) curve was used to quantify the predicted probabilities of the model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the cluster Profiler package. Finally, regression statistical analysis was used to correlate the key SNPs with clinical information and biochemical indicators. A total of 24 SNPs were retained and 10 SNPs were risk allele genes. Nine SNPs (rs7412, rs1800629, rs699947, rs3918242, rs668, rs1800470, rs1800449, rs1800469, and rs1024611) were identified as the key SNPs sites. GO and KEGG pathway analyses revealed that these genes are mainly enriched in fluid shear stress and atherosclerosis. Finally, rs1800449 was associated with low-density lipoprotein cholesterol (LDL-C). With high density lipoprotein cholesterol (HDL-C), related site was rs1024611. The sites associated with total cholesterol (CHOL) were rs1800449 and rs7412.The site associated with apolipoprotein B (APOB) and apolipoprotein A1 (APOA1) were rs1800470 and rs1800469. This study authenticated nine SNPs for the diagnosis of T2DM patients with LEAD, which will be of great significance in the development of diagnostic molecular biomarkers for T2DM patients. Show less
no PDF DOI: 10.1097/HJH.0000000000004164
APOB
Jie Huang, Xingyuan Hou, Ni Zhou +7 more · 2026 · Cardiovascular drugs and therapy · Springer · added 2026-04-24
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of ph Show more
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of phenylacetylglutamine (PAGln), a novel gut microbiota metabolite, in Dox-induced cardiotoxicity (DIC). DIC models were established in vivo and in vitro, and a series of experiments were performed to verify the cardioprotective effect of PAGln. RNA sequencing (RNA-seq) was employed to explore the mechanism of PAGln in DIC. Subsequently, the differentially expressed genes (DEGs) were subjected to comprehensive analysis using diverse public databases, and RT-PCR was used to confirm the expression levels of the candidate genes. Finally, molecular docking techniques were used for validation. PAGln effectively prevented both in vivo and in vitro Dox-induced myocardial injury and cell apoptosis. RNA-seq results showed that 40 genes were up-regulated and 54 down-regulated in the Dox group compared to the Con group, displaying opposite changes in the Dox + PAGln group. Enrichment analysis highlighted several mechanisms by which PAGln alleviated Dox-induced cardiotoxicity, including the lipid metabolic process, calcium-mediated signaling, positive regulation of store-operated calcium channel activity, and hypertrophic cardiomyopathy. In vitro and in vivo experiments confirmed that PAGln treatment could reverse the changes in the expression levels of Klb, Ece2, Nmnat2, Casq1, Pak1, and Apob in Dox. Molecular docking results showed that these genes had good binding activity with PAGln. PAGln shows potential in alleviating Dox-induced cardiotoxicity, with Ece2 identified as key regulatory molecules related to endothelial dysfunction. Show less
📄 PDF DOI: 10.1007/s10557-024-07665-y
APOB
Yunqing Zhu, Rui Yuan, Zhe Lu +10 more · 2026 · Cell reports. Medicine · Elsevier · added 2026-04-24
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target gene Show more
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target genetic association study in two independent Han Chinese schizophrenia cohorts (N = 2,111/292 for discovery/validation). Leveraging metabolic genome-wide association studies, we generate genetic risk scores (GRSs) for lipid-modifying and hypoglycemic targets. Those with higher APOC3 (inhibited by volanesorsen/olezarsen) GRS exhibit attenuated triglycerides and improvement in negative symptoms assessed by Positive and Negative Syndrome Scale (PANSS) (β = 1.23, 95% confidence interval [CI]: 0.30-2.16). Higher GCK (activated by dorzagliatin) GRS is associated with decreased glucose and less improvement across PANSS total (β = -1.70, 95% CI: -2.91-0.50), positive, negative, general subscales. Causal associations of GCK are replicated in independent validation. The effects of APOC3 and GCK on negative symptom recovery are robust in hyperlipidemic/diabetic subgroups. Genetically proxied proteomics analysis provides further functional validation for the identified target-outcome associations. Our findings suggest volanesorsen/olezarsen as potential adjunctive candidates; dorzagliatin warrants prudence in schizophrenia with metabolic disturbance. Show less
📄 PDF DOI: 10.1016/j.xcrm.2026.102653
APOC3
Zhuoying Ren, Jun Zhou, Dongshan Yang +4 more · 2026 · Cells · MDPI · added 2026-04-24
Gene editing technologies have revolutionized therapeutic development, offering potentially curative and preventative strategies for cardiovascular disease (CVD), which remains a leading global cause Show more
Gene editing technologies have revolutionized therapeutic development, offering potentially curative and preventative strategies for cardiovascular disease (CVD), which remains a leading global cause of morbidity and mortality. This review provides an introduction to the state-of-the-art gene editing tools-including ZFNs, TALENs, CRISPR/Cas9 systems, base editors, and prime editors-and evaluates their application in lipid metabolic pathways central to CVD pathogenesis. Emphasis is placed on targets such as Show less
📄 PDF DOI: 10.3390/cells15020134
APOC3
Qiang Liu, Randy L Parrish, Shizhen Tang +7 more · 2026 · Communications biology · Nature · added 2026-04-24
Most existing transcriptome wide association studies (TWASs) of Alzheimer's Disease (AD) dementia only use bulk RNA-seq data and a single statistical method. Here, we utilize an omnibus TWAS (TWAS-O) Show more
Most existing transcriptome wide association studies (TWASs) of Alzheimer's Disease (AD) dementia only use bulk RNA-seq data and a single statistical method. Here, we utilize an omnibus TWAS (TWAS-O) pipeline that leverages multiple complementary statistical methods to integrate the snRNA-seq dataset (n = 415) of the dorsolateral prefrontal cortex (DLPFC) and the latest GWAS data of AD dementia. We fine-map TWAS risk genes by gene-based conditional analysis and conducted validation analyses by the analogous omnibus proteome-wide association studies (PWAS-O) using bulk proteomics data of DLPFC (n = 716). We identify 223 unique cell-type-aware TWAS risk genes from 350 associations across six major brain cell-types, including 91 fine-mapped independent associations, 11 of which are novel. By PWAS-O, we identify 21 significant PWAS risk genes, including 13 independent associations, which validated 31.9% independent cell-type-aware TWAS associations. By protein-protein interaction network analyses, our novel cell-type-aware TWAS findings are linked to established AD risk genes such as APOE, BIN1, and MAPT. Show less
no PDF DOI: 10.1038/s42003-026-10030-4
APOE
YoungSoon Yang, Ki Jin Jung, Yong Tae Kwak · 2026 · Age and ageing · Oxford University Press · added 2026-04-24
Postoperative delirium is common in older surgical patients, but simple blood tests to identify risk are lacking. Plasma amyloid-β oligomers measured by multimer detection (MDS-OAβ) may reflect neurod Show more
Postoperative delirium is common in older surgical patients, but simple blood tests to identify risk are lacking. Plasma amyloid-β oligomers measured by multimer detection (MDS-OAβ) may reflect neurodegenerative vulnerability. We enrolled 101 patients aged ≥65 years undergoing elective orthopaedic surgery with general anaesthesia. Blood was drawn preoperatively and at first delirium diagnosis or on postoperative Day 4 if no delirium. MDS-OAβ was quantified blinded. Delirium was assessed daily on postoperative Days 1-3 (DRS-R-98 and DSM). Propensity-score matching on APOE ε4 status and clinical covariates addressed Alzheimer-type vulnerability. Discrimination and thresholds (0.60, 0.72, 0.85 ng/ml) were evaluated using logistic regression and ROC analyses. Among 101 patients (44 with delirium; 57 without), preoperative MDS-OAβ concentrations were higher in those who developed delirium and correlated with delirium severity. In the overall cohort, preoperative MDS-OAβ discriminated delirium with an area under the curve of 0.855 (95% CI 0.777-0.919); in a pooled postoperative dataset (n = 205), discrimination was similar (AUC 0.884, 95% CI 0.837-0.925). The dual-threshold approach identified a low-risk group with high negative predictive value and a high-risk group with high positive predictive value, leaving an intermediate group for closer observation. Preoperative plasma MDS-OAβ may provide a scalable biomarker for perioperative risk stratification of postoperative delirium in older adults, supporting a dual-threshold strategy for targeted prevention and monitoring. Low MDS-OAβ values indicate lower risk but do not exclude POD; biomarker-guided stratification should complement, not replace, routine perioperative delirium surveillance. Show less
📄 PDF DOI: 10.1093/ageing/afag106
APOE
Zi-Yu Wei, He-Ping Wang, Song Tang +10 more · 2026 · Genomics, proteomics & bioinformatics · Oxford University Press · added 2026-04-24
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To addre Show more
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To address this, we performed multi-tissue metabolomic profiling (liver, heart, and serum) in apolipoprotein E-deficient (ApoE-/-) mice subjected to CR. Metabolomic analyses of the multiple tissues revealed that glycerophospholipid metabolism pathway was consistently modulated by CR. To explore its relevance in vascular diseases, we performed serum metabolomic profiling in an abdominal aortic aneurysm (AAA) model induced by angiotensin Ⅱ (AngⅡ) infusion in ApoE-/- mice. The level of lysophosphatidylethanolamine (LPE) (16:0/0:0), a metabolite in the glycerophospholipid metabolism pathway, was elevated during AAA progression and significantly reduced by CR intervention, suggesting its potential as a vascular disease risk factor. Notably, glycerophospholipid metabolism and LPE (16:0) were significantly associated with vascular diseases and aging-related indicators in human multi-omics data, including public transcriptomic and lipidomic, and our serum multi-omics profiling of 76 healthy aged individuals. Collectively, our findings establish glycerophospholipid metabolism and LPE (16:0) as systemic signatures of CR with diagnostic potential. They highlight a crucial link between systemic metabolism and vascular remodeling and remodeling-associated vascular diseases, while also functioning as indicators of systemic aging. Show less
no PDF DOI: 10.1093/gpbjnl/qzag030
APOE
Li Pan, Qi-Biao Wu, Zhou Zhu +5 more · 2026 · Zhen ci yan jiu = Acupuncture research · added 2026-04-24
To observe the effect of moxibustion on the lipid metabolism, aortic arch and mitochondrial structure, PTEN-induced kinase 1 (PINK1)/Parkin signaling pathway, and the expressions of apoptosis-related Show more
To observe the effect of moxibustion on the lipid metabolism, aortic arch and mitochondrial structure, PTEN-induced kinase 1 (PINK1)/Parkin signaling pathway, and the expressions of apoptosis-related proteins in atherosclerotic (AS) mice, so as to explore its potential mechanisms underlying prevention and treatment of AS. Ten C57BL/6J mice were fed with normal chow and used as the control group. Thirty ApoE Compared with the control group, the contents of serum TC, TG and LDL-C, expression levels of PINK1, Parkin, Bax and Caspase3 protein, and the immunoactivity of Parkin and Cyt C were significantly increased ( Moxibustion can improve the lipid metabolism level, relieve pathological injury of the thoracic aorta, restore mitochondrial structure and function in ApoE Show less
no PDF DOI: 10.13702/j.1000-0607.20250472
APOE
Jigyasha Timsina, Chenyang Jiang, Daniel L McCartney +152 more · 2026 · Nature communications · Nature · added 2026-04-24
Jigyasha Timsina, Chenyang Jiang, Daniel L McCartney, Feifei Tao, Maria Carolina Dalmasso, Jenna Najar, Federica Anastasi, Olena Ohlei, Raquel Puerta Fuentes, Chenyu Yang, Joseph Bradley, Daniel Western, Muhammad Ali, Ciyang Wang, Chengran Yang, Ying Wu, Menghan Liu, John Budde, Julie Williams, Rebecca Mahoney, Atahualpa Castillo Morales, Timothy J Hohman, Logan Dumitrescu, Ting-Chen Wang, Niccolo' Tesi, Silke Kern, Margda Waern, Ingmar Skoog, Argonde van Harten, Yolande A L Pijnenburg, Wiesje M van der Flier, Pascual Sánchez-Juan, Eloy Rodriguez-Rodriguez, Luca Kleineidam, Oliver Peters, Anja Schneider, Fahri Küçükali, Céline Bellenguez, Benjamin Grenier-Boley, Sami Heikkinen, Itziar de Rojas, Dan Rujescu, Norbert Scherbaum, Lucrezia Hausner, Emrah Düzel, Timo Grimmer, Jens Wiltfang, Rik Vandenberghe, Sebastiaan Engelborghs, Stefanie Heilmann-Heimbach, Matthias Schmid, Thomas Tegos, Nikolaos Scarmeas, Oriol Dols-Icardo, Fermin Moreno, Jordi Pérez-Tur, María J Bullido, Raquel Sánchez-Valle, Victoria Álvarez, Pablo García-González, Pablo Mir, Luis M Real, Gerard Piñol-Ripoll, Jose María García-Alberca, Harro Seelaar, Inez Ramakers, Janne Papma, Marc Hulsman, Christoph Laske, Stefan Teipel, Josef Priller, Robert Perneczky, Katharina Buerger, Markus M Nöthen, Piotr Lewczuk, Johannes Kornhuber, Harald Hampel, Ina Giegling, Oliver Goldhardt, Janine Diehl-Schmid, Victor Andrade, Michael Mt Heneka, Lutz Frölich, Jonathan Vogelgsang, Caroline Graff, Hakan Thonberg, Abbe Ullgren, Goran Papenberg, Jean-François Deleuze, Carole Dufouil, Michael Wagner, Frank Jessen, Henne Holstege, Cornelia van Duijn, Thibaud Lebouvier, Olivier Hannon, Ville Leinonen, Hilkka Soininen, Sanna-Kaisa Herukka, Vilmantas Giedraitis, Malin Löwenmark, Lena Kilander, Patricia Genius, Blanca Rodríguez, Emma S Luckett, Arcadi Navarro, Amanda Cano, Marta Marquié, Kaj Blennow, Henrik Zetterberg, Alberto Lleo, Mercè Boada, Agustin Ruiz, Virginia Man-Yee Lee, Vivianna M Van Deerlin, Yuetiva Deming, Sterling C Johnson, Corinne D Engelman, Pau Pastor, Ignacio Alvarez, Elaine R Peskind, Amanda J Heslegrave, Andrew J Saykin, Kwangsik Nho, Suzanne E Schindler, John C Morris, David M Holtzman, Eric McDade, Alan E Renton, Alison Goate, Laura Ibanez, Matthias Riemenschneider, Marilyn S Albert, Simon M Laws, Tenielle Porter, Eleanor K O'Brien, Leslie M Shaw, Betty M Tijms, Martin Ingelsson, Pieter Jelle Visser, Mikko Hiltunen, Kristel Sleegers, Craig W Ritchie, Rebecca Sims, Michael Belloy, Jean-Charles Lambert, Natalia Vilor-Tejedor, Maria Victoria Fernández, Qingqin S Li, Michael W Nagle, Riccardo E Marioni, Alfredo Ramirez, Lars Bertram, Sven J van der Lee, Carlos Cruchaga Show less
Cerebrospinal fluid amyloid beta 42, total tau, and phosphorylated tau 181 are well accepted markers of Alzheimer's disease. These biomarkers better reflect disease pathogenesis compared to clinical d Show more
Cerebrospinal fluid amyloid beta 42, total tau, and phosphorylated tau 181 are well accepted markers of Alzheimer's disease. These biomarkers better reflect disease pathogenesis compared to clinical diagnosis. Here, we perform a genome wide association study meta-analysis including 18,948 individuals of European ancestry and identify 12 genome-wide significant loci across all three biomarkers, eight of them novel. We replicate the association of biomarkers with APOE, CR1, GMNC/CCDC50 and C16orf95/MAP1LC3B. Novel loci include BIN1 for amyloid beta and GNA12, MS4A6A, SLCO1A2 with both total tau and phosphorylated tau 181, as well as additional loci on chr. 8, near ANGPT1 and chr. 9 near SMARCA2. We also demonstrate that these variants have significant association with Alzheimer's disease risk, disease progression and/or brain amyloidosis. The associated genes are implicated in lipid metabolism independent of APOE, coupled with autophagy and brain volume regulation driven by total tau and phosphorylated tau 181 dysregulation. Show less
no PDF DOI: 10.1038/s41467-026-71682-8
APOE
Qiuling Tong, William Robert Kwapong, Xiaoqian Luan +6 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Dementia with Lewy bodies (DLB) frequently coexists with cerebrovascular injury and Alzheimer's-related pathology, yet accessible in vivo markers of these processes remain limited. The retinal microva Show more
Dementia with Lewy bodies (DLB) frequently coexists with cerebrovascular injury and Alzheimer's-related pathology, yet accessible in vivo markers of these processes remain limited. The retinal microvasculature shares structural and physiological characteristics with cerebral small vessels and may provide a non-invasive window into neurovascular and neurodegenerative pathology. In this cross-sectional study, 32 individuals with DLB and 31 age-matched cognitively unimpaired controls (CU) underwent swept-source optical coherence tomography angiography (OCTA), brain MRI, and plasma biomarker assessment. Retinal vessel densities of the superficial vascular complex (SVC), deep vascular complex (DVC), and choriocapillaris (CC) were quantified. Plasma amyloid-β, phosphorylated tau-217 (p-tau217), and glial fibrillary acidic protein were measured. Cerebral small vessel disease (SVD) burden and white matter hyperintensity (WMH) volumes were derived from MRI. Associations with cognition and mediation by WMH burden were evaluated using generalized estimating equations and bootstrapped mediation analyses. Compared with CU, individuals with DLB exhibited significantly reduced SVC, DVC, and CC vessel densities (all p < 0.001). Lower retinal vessel densities were associated with higher plasma amyloid burden and elevated p-tau217, as well as greater SVD burden and periventricular WMH volume. APOE ε4 carriers demonstrated more pronounced retinal microvascular impairment, higher WMH burden, and elevated p-tau217 levels than non-carriers. Reduced SVC density was associated with worse global cognition, and this relationship was partially mediated by periventricular WMH volume. Retinal microvascular impairment measured by OCTA is closely linked to Alzheimer's-related plasma biomarkers, SVD, and cognitive decline in DLB. These findings support retinal OCTA as a scalable, non-invasive biomarker reflecting convergent neurodegenerative and vascular pathology in DLB. Show less
📄 PDF DOI: 10.1002/cns.70891
APOE
Shuang Yang, Rui Fu, Xiaoxiao Ren +13 more · 2026 · Clinical and translational medicine · Wiley · added 2026-04-24
Vascular smooth muscle cell (VSMC) phenotype switching plays a significant role in the pathogenesis of atherosclerosis (AS). However, the subtypes of VSMC transdifferentiation and their impact on AS p Show more
Vascular smooth muscle cell (VSMC) phenotype switching plays a significant role in the pathogenesis of atherosclerosis (AS). However, the subtypes of VSMC transdifferentiation and their impact on AS progression and atherosclerotic plaque instability remains unclear. We reanalysed scRNA-seq datasets of GSE155513 and GSE253903 and performed single-sample gene set enrichment analysis (ssGSEA) in three transcriptome datasets from unstable plaques to determine the major subtypes contributing the most to plaque instability. Using high-dimensional weighted gene co-expression network analysis (hdWGCNA), we identified hub genes in macrophage (MP)-like smooth muscle cells (SMCs) of unstable plaques. We conducted cell communication analysis according to tensin1 (TNS1) gene levels in VSMCs. TNS1 expression was analysed in human AS plaques. Finally, an AS model was established in VSMC-specific Tns1 knockout ApoE MP-like SMC was identified as the key subtype for plaque instability. hdWGCNA analysis for MP-like SMC identified blue module as the key gene module involved in unstable plaques. Decreased TNS1 expression in VSMCs was positively correlated with the down-regulation of contractile VSMC marker genes, SRF and MYCOD genes, negatively correlated with the up-regulation of CD68 and KLF4 genes, and activated VCAM, PDGF, THBS and CXCL signalling pathways. TNS1 mRNA expression levels were lower in human atherosclerotic arteries than in healthy arteries, and even lower in unstable plaques than in early and stable plaques. TNS1 protein levels in VSMCs were lower in human atherosclerotic plaques than in healthy arteries, and even lower in advanced plaques than in early plaques. VSMC-specific Tns1 gene deficiency aggravated AS progression and enhanced plaque instability with increased MP-like SMC transdifferentiation. The reduction of TNS1 gene in VSMCs might drive contractile VSMC transdifferentiation into MP-like SMC, the major subtype contributing to plaque instability. In vivo experimental results confirmed the role of Tns1 gene in contractile VSMC transdifferentiation into MP-like SMC and plaque instability. Show less
📄 PDF DOI: 10.1002/ctm2.70664
APOE
Diya Yang, Yihe Yang, Nicholas R Ray +11 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
Epidemiological studies have consistently shown that chronic kidney disease is associated with increased Alzheimer disease risk. However, the underlying genetic architecture connecting these two condi Show more
Epidemiological studies have consistently shown that chronic kidney disease is associated with increased Alzheimer disease risk. However, the underlying genetic architecture connecting these two conditions remains largely unexplored beyond genome-wide correlation analyses. Here, we conducted the first comprehensive, multi-ancestry, large-scale genetic investigation to identify shared genetic components between kidney function and Alzheimer disease. We leveraged large-scale genome-wide association study summary statistics for estimated glomerular filtration rate (N≈1.5 million European, N≈145,000 African ancestry) and late-onset Alzheimer disease (N=63,926 and N=398,058 in two European cohorts; N=9,168 in African ancestry) corrected for competing risk bias. We deployed a novel analytical framework integrating linkage disequilibrium score regression and polygenic risk score analysis, local analysis of [co]variant association, conjunctional false discovery rate analysis with Bayesian colocalization and fine-mapping, and bidirectional cis-Mendelian randomization to identify vertical pleiotropy. Despite the absence of genome-wide genetic correlation (r Show less
no PDF DOI: 10.64898/2026.04.04.26350158
APOE
Ruicong Ma, Jiaqing Liu, Siwen Yang +8 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Brusatol (BRU), a major bioactive quassinoid isolated from Brucea javanica, has shown potential in the treatment of inflammatory diseases. As mitochondrial dysfunction has been implicated in chronic i Show more
Brusatol (BRU), a major bioactive quassinoid isolated from Brucea javanica, has shown potential in the treatment of inflammatory diseases. As mitochondrial dysfunction has been implicated in chronic inflammatory disorders, modulation of mitochondrial homeostasis may offer a potential approach for the treatment of rheumatoid arthritis (RA) and atherosclerosis (AS). To develop a novel BRU derivative through rational modification at the C11‑hydroxyl group and to compare the therapeutic effects of BRU and its derivative BRUD in experimental models of RA and AS, with particular focus on mitochondrial regulation and Drp1-associated signaling. This study combined in vivo and in vitro experiments to evaluate the pharmacological effects of BRU and BRUD and investigate the underlying mechanisms. The chemical constituents of BRU and BRUD were confirmed by HPLC and NMR spectroscopy ( In vivo studies demonstrated that both compounds ameliorated joint damage in CIA rats and reduced atherosclerotic lesion burden in ApoE These findings suggest that BRUD exhibits improved activity compared with BRU in RA and AS models, with protective effects associated with modulation of mitochondrial dysfunction, supporting its further evaluation as a lead compound. Show less
no PDF DOI: 10.1016/j.phymed.2026.158171
APOE
Jie Yang, Jinghua Wang, Wenhui Chai +20 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive perfo Show more
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive performance. In this study, we examined the associations between plasma klotho levels and plasma biomarkers, as well as amyloid beta (Aβ) positron emission tomography (PET), tau PET, neurodegeneration, and cognition, in 354 older adults. Stratified association, interaction, and mediation analyses were conducted to elucidate apolipoprotein E (APOE) ε4-dependent relationships and potential underlying pathways. Higher plasma klotho levels were associated with lower AD-related biomarkers and cognitive decline in APOE ε4 carriers. Plasma klotho and APOE ε4 exhibited significant or marginal interactions with less abnormal changes in plasma phosphorylated tau217, glial fibrillary acidic protein, neurofilament light chain, Aβ PET, and cognition. These AD-related biomarkers mediated the protective effect of plasma klotho on cognitive function in APOE ε4 carriers. This study suggests that plasma klotho is an APOE ε4-dependent protective factor, which may attenuate AD-related pathology and improve cognitive performance. Show less
📄 PDF DOI: 10.1002/alz.71397
APOE
Fanfan Meng, Tingting Zhao, Xi Yang +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a multifactorial disorder. The sortilin-related receptor 1 (
no PDF DOI: 10.1177/13872877261441644
APOE
Ximian Zheng, Hua Ye, Teng Zhang +4 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Endothelial-to-mesenchymal transition (EndMT) is implicated in atherosclerosis by contributing to endothelial dysfunction (ED). SMS2 (sphingomyelin synthase 2), a key enzyme in sphingomyelin synthesis Show more
Endothelial-to-mesenchymal transition (EndMT) is implicated in atherosclerosis by contributing to endothelial dysfunction (ED). SMS2 (sphingomyelin synthase 2), a key enzyme in sphingomyelin synthesis, plays a significant role in both ED and atherosclerosis. Nonetheless, the precise mechanisms of SMS2-associated ED, and its potential modulation via EndMT remain unexplored in the context of ED and atherosclerosis progression. To investigate this, we inhibited SMS2 activity using the inhibitor Ly93 and performed RNA sequencing on human umbilical vein endothelial cells. Furthermore, we validated the potential mechanisms of EndMT in human umbilical vein endothelial cells, Apo E SMS2 inhibition suppressed EndMT by blocking the Wnt/β-catenin pathway. This blockade attenuated PPARγ (peroxisome proliferator-activated receptor gamma) ubiquitination-mediated degradation via PPARγ-β-catenin interaction, ultimately reducing CPT1A expression and fatty acid oxidation. In vivo, endothelial cell-specific overexpression of SMS2 in ApoE SMS2 can activate the Wnt/β-catenin pathway, which is inversely correlated with the activity of PPARγ and fatty acid oxidation. This process facilitates EndMT and ED, ultimately contributing to the initiation and development of atherosclerosis. These findings suggest that inhibition of endothelial SMS2 activity with Ly93 could be beneficial for the treatment of atherosclerosis. Show less
no PDF DOI: 10.1161/ATVBAHA.126.324346
APOE
Neil V Yang, Shaowei Wang, Boyang Li +6 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
While the apolipoprotein E (APOE) ε4 allele is a major risk factor for Alzheimer's disease (AD), the role of translocase of outer mitochondrial membrane 40 (TOMM40)-an adjacent gene involved in mitoch Show more
While the apolipoprotein E (APOE) ε4 allele is a major risk factor for Alzheimer's disease (AD), the role of translocase of outer mitochondrial membrane 40 (TOMM40)-an adjacent gene involved in mitochondrial protein import-is not known. Human brain tissue, human induced pluripotent stem cell-derived neurons (iNeurons), and mice were used for study of gene expression, cholesterol metabolism, mitochondrial function, and animal cognition. Human brain transcriptomics showed reduced TOMM40 expression that correlated with cholesterol regulatory gene expression, amyloid burden, and clinical AD diagnosis. In human iNeurons, TOMM40 knockdown (KD) disrupted mitochondria-endoplasmic reticulum contact sites (MERCs), causing mitochondrial dysfunction and promoting reactive oxygen species that led to activation of liver X receptor beta (NR1H2), upregulation of APOE and low-density lipoprotein receptor (LDLR), and increased cellular cholesterol and amyloid beta (Aβ)42 independent of APOE ε4. Consistently, Tomm40 KD in mice induced increased brain cholesterol, Aβ42 content, and impaired memory. TOMM40 is a novel mediator of AD pathology through dual effects on MERCs that regulate cholesterol homeostasis and mitochondrial function. Show less
📄 PDF DOI: 10.1002/alz.71306
APOE
W Hudson Robb, Gurkiran Kaur, Steven Huang +16 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Anti-amyloid-β (Aβ) therapies are reshaping Alzheimer's disease (AD) management. Understanding changes in real-world patterns of diagnostic testing and infusion chair usage is essential for optimizing Show more
Anti-amyloid-β (Aβ) therapies are reshaping Alzheimer's disease (AD) management. Understanding changes in real-world patterns of diagnostic testing and infusion chair usage is essential for optimizing access to care. Retrospective analysis of Mayo Clinic enterprise electronic health records (Jan 2019-Mar 2025) assessed trends in AD-relevant brain imaging, fluid biomarkers, apolipoprotein E (APOE) testing, and lecanemab infusions. Rates of amyloid-beta (Aβ) positivity by sex and age, APOE genotype frequencies, and lecanemab treatment initiation and discontinuation were evaluated. Following national insurance coverage changes, lecanemab infusions grew by 110 infusions per quarter to 605 in Q1 2025. Aβ positron emission tomography scans increased (+22/quarter), cerebrospinal fluid biomarker orders declined (-25/quarter), and plasma p-tau The adoption of anti-Aβ therapies coincided with a rapid shift in diagnostic workflows. Show less
📄 PDF DOI: 10.1002/alz.71343
APOE
Yalin Zhu, Guoyu Lan, Anqi Li +15 more · 2026 · Neurobiology of aging · Elsevier · added 2026-04-24
Both Apolipoprotein E-ε4 (APOE-ε4) and astrocytic activation, as measured by glial fibrillary acidic protein (GFAP), play critical roles in Alzheimer's disease (AD). However, the influence of astrocyt Show more
Both Apolipoprotein E-ε4 (APOE-ε4) and astrocytic activation, as measured by glial fibrillary acidic protein (GFAP), play critical roles in Alzheimer's disease (AD). However, the influence of astrocytic activation on the relationship between APOE-ε4 and AD pathologies remains unclear. This study investigates the interrelationships among astrocytic activation, APOE-ε4, and AD pathophysiology in 529 participants who underwent plasma biomarker measurements, APOE genotyping, and cognitive testing. Additionally, 277, 284, and 104 underwent structural magnetic resonance imaging (MRI), amyloid-β (Aβ) positron emission tomography (PET), and tau PET, respectively. The associations of plasma GFAP, APOE-ε4, and AD-related biomarkers, as well as whether plasma GFAP mediates APOE-ε4-related effects on AD, were investigated. Higher plasma GFAP and APOE-ε4 were independently associated with more severe Aβ and tau aggregation, as well as cognitive decline. Mediation analyses showed a significant indirect effect of APOE-ε4 on plasma p-tau biomarkers (21.1%-24.9%), Aβ PET (16.4%), and cognition (19.6%), while the indirect effect on tau PET was trend-level (29.1%, p Show less
no PDF DOI: 10.1016/j.neurobiolaging.2026.03.009
APOE
Chun-Xu Shi, Jia-Huan Li, Jin Liu +8 more · 2026 · Journal of Alzheimer's disease reports · SAGE Publications · added 2026-04-24
Social isolation (SI) is an established risk factor for Alzheimer's disease (AD) and cognitive decline. However, its stage-specific effects across the AD continuum, particularly at subjective cognitiv Show more
Social isolation (SI) is an established risk factor for Alzheimer's disease (AD) and cognitive decline. However, its stage-specific effects across the AD continuum, particularly at subjective cognitive decline (SCD) and mild cognitive impairment (MCI) stages, remain unquantified in Chinese populations. The sex-specific effects of SI on cognitive decline remain incompletely characterized. The apolipoprotein E ( To investigate social connection characteristics and gene distribution in individuals with SCD or MCI, examine their cross-sectional associations with cognitive function, and explore gender differences in SCD or MCI risk/prevention. A community-based sample of 164 SCD and 84 MCI patients (July 2021-Dec 2024) was assessed. Demographic, social connectivity, LSNS-6 scores showed weak-to-moderate correlations with Montreal Cognitive Assessment ( SI may exacerbate cognitive dysfunction in adults with SCD or MCI. Women leverage social connectivity into significantly greater neuroprotective gains compared to men. ChiCTR2300073429. https://www.chictr.org.cn/bin/project/edit?pid=200381. Show less
📄 PDF DOI: 10.1177/25424823251409405
APOE
Chengsi Qian, Zuowei Pei, Zhou Yang +4 more · 2026 · Frontiers in bioscience (Landmark edition) · added 2026-04-24
Hyperlipidemia is highly prevalent worldwide and can affect cardiac pathophysiology. This study aimed to compare the effects of high-intensity interval training (HIIT) and moderate-intensity continuou Show more
Hyperlipidemia is highly prevalent worldwide and can affect cardiac pathophysiology. This study aimed to compare the effects of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on the molecular mechanisms of myocardial stress and pathological remodeling in non-obese apolipoprotein E knockout ( Thirty-five 8-week-old male The HFD condition increased serum total cholesterol (TC) and triglyceride (TG) levels, but did not increase body weight, consistent with a lean hyperlipidemia model. Compared with the MICT condition, the HIIT condition demonstrated superior efficacy in reducing HFD-induced TC, TG and BNP levels ( In a non-obese, hypercholesterolemic Show less
no PDF DOI: 10.31083/FBL47751
APOE
Young Hyeon Ahn, Jin Gu Kang, Dahyeon Choi +6 more · 2026 · Frontiers in aging neuroscience · Frontiers · added 2026-04-24
Liver-metabolic stress and apolipoprotein E (APOE) ε4 are implicated in late-life cognitive vulnerability, yet how hepatic-metabolic indices relate to cognition and amyloid burden and whether these as Show more
Liver-metabolic stress and apolipoprotein E (APOE) ε4 are implicated in late-life cognitive vulnerability, yet how hepatic-metabolic indices relate to cognition and amyloid burden and whether these associations vary by APOE ε4 allele dose remains unclear. We examined liver-metabolic indices in relation to cognition and amyloid PET SUVR and tested effect modification by APOE ε4. We analyzed baseline data from the Dementia Platform Korea Trial-Ready Registry (DPK-TRR). Primary multivariable analyses used complete cases for outcomes and covariates ( Higher TyG index and AST/ALT ratio were associated with lower MMSE scores (TyG: Routine liver-metabolic indices were associated with cognitive performance, while FIB-4 stage showed effect modification by APOE ε4 in relation to both cognition and amyloid PET SUVR. These findings support heterogeneity in liver-metabolic and genetic contributions to late-life cognitive vulnerability in a dementia trial-ready registry and motivate longitudinal studies to clarify temporal relationships. Show less
📄 PDF DOI: 10.3389/fnagi.2026.1773977
APOE
Yuanyuan Zhang, Yu Huang, Junyu Xue +8 more · 2026 · General psychiatry · Wiley · added 2026-04-24
Individuals with prediabetes or diabetes face elevated dementia risk, yet robust prediction tools and mechanistic insights remain limited. This study aimed to develop and validate a protein-based risk Show more
Individuals with prediabetes or diabetes face elevated dementia risk, yet robust prediction tools and mechanistic insights remain limited. This study aimed to develop and validate a protein-based risk score for dementia prediction in this high-risk population while elucidating underlying biological pathways and therapeutic targets. Utilising data from 10 433 UK Biobank participants with prediabetes or diabetes and proteomic profiling (2911 plasma proteins measured), we developed a dementia protein risk score in a training set ( In the training set, 23 out of 2911 proteins were selected. In the testing set, compared with the basic model (age and sex, C-index: 0.78; 95% confidence interval [CI] 0.74-0.82), the dementia protein risk score (C-index: 0.84; 95% CI 0.81-0.88) significantly improved the performance in predicting incident dementia (C-index increase: 0.06; 95% CI 0.02-0.12), while cardiovascular risk factors, ageing and dementia incidence risk factors (C-index: 0.80; 95% CI 0.76-0.83) and apolipoprotein E (APOE; age and sex included, C-index: 0.81; 95% CI 0.77-0.85) had no significant improvement. Six key proteins (glial fibrillary acidic protein [GFAP], neurofilament light polypeptide [NEFL], Brevican core protein [BCAN], protein MENT [MENT], APOE and growth/differentiation factor 15 [GDF15]) captured the most predictive power. Pathway analyses implicated extracellular matrix remodelling and cholesterol metabolism, whereas Mendelian randomisation identified causal roles for APOE, haematopoietic prostaglandin D synthase (HPGDS), BAG family molecular chaperone regulator 3 (BAG3) and GDF15. Nine proteins were prioritised as druggable targets, including HPGDS, with existing Food and Drug Administration-approved drugs. This study establishes a highly accurate protein-based risk score for dementia prediction (including 6-23 proteins) in individuals with prediabetes or diabetes, uncovering actionable biological pathways and therapeutic targets. The findings enable precision risk stratification and accelerate translational opportunities for dementia prevention in this population. Show less
📄 PDF DOI: 10.1002/gps3.70010
APOE
Guiya Guo, Wangchen Song, Aimin Wang +10 more · 2026 · Scientific reports · Nature · added 2026-04-24
Accurate prediction of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is critical for early intervention. Many existing models lack the ability to capture the nonlinear n Show more
Accurate prediction of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is critical for early intervention. Many existing models lack the ability to capture the nonlinear nature of cognitive decline and individual heterogeneity. This study employed a semi‑parametric joint model to analyze longitudinal cognitive trajectories and identify robust predictors of conversion. Data from 596 participants (184 AD converters, 412 stable MCI) were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Longitudinal assessments included ADAS‑Cog13, ADAS‑Cog11, CDR‑SB, FAQ, RAVLT‑IR, RAVLT‑L, and MMSE. A semi‑parametric joint model combining B‑splines for the longitudinal process with a Cox survival submodel was fitted for each cognitive measure. Model performance was evaluated using AIC, BIC, intraclass correlation coefficient (ICC), time‑dependent C‑index, dynamic AUC, and calibration curves. Subgroup analyses were conducted by APOE‑ε4 carrier status. In multivariable joint models, APOE‑ε4 carriage was a consistent risk factor (HR range: 1.38-1.77). Higher scores on ADAS‑Cog13 (HR = 3.71 per SD), ADAS‑Cog11 (HR = 2.71), CDR‑SB (HR = 3.79), and FAQ (HR = 2.85) increased the hazard of conversion, whereas higher scores on RAVLT‑IR (HR = 0.23), RAVLT‑L (HR = 0.14), and MMSE (HR = 0.53) were protective. All models showed high ICCs (0.94-0.98) and moderate‑to‑good predictive accuracy over 2, 5, and 8 year horizons (C‑index: 0.585-0.668). CDR‑SB and FAQ exhibited the strongest effect sizes and clearest dose‑dependent trajectories across APOE‑ε4 subgroups. Calibration curves demonstrated good agreement between predicted and observed survival. The semi‑parametric joint model effectively captures nonlinear cognitive‑functional decline and provides validated predictions of AD risk. APOE‑ε4 genotype combined with longitudinal monitoring of CDR‑SB and FAQ offers a robust framework for stratifying progression risk in clinical MCI management. Show less
no PDF DOI: 10.1038/s41598-026-44192-2
APOE
Qihong Ni, Haozhe Qi, Yinteng Chu +12 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Endothelial cell (EC) senescence is intimately linked to the development and progression of atherosclerosis. The FGFR2 (fibroblast growth factor receptor 2) signaling is crucial in regulating the phen Show more
Endothelial cell (EC) senescence is intimately linked to the development and progression of atherosclerosis. The FGFR2 (fibroblast growth factor receptor 2) signaling is crucial in regulating the phenotype of ECs. Recent studies have revealed that cell phenotype-specific alternative splicing of FGFR2 premRNA (precursor mRNA) results in the mutually exclusive inclusion of either exon IIIb or IIIc, leading to critical differences in receptor function. This study aimed to investigate the role of FGFR2 alternative splicing in EC senescence and atherosclerosis development, and to elucidate the underlying mechanisms. Clinical samples and animal models were used to assess the association between FGFR2-IIIc isoform expression and EC senescence as well as atherosclerotic plaque formation. The mechanisms underlying FGFR2-IIIc-induced EC senescence were elucidated through a combination of in vivo and in vitro investigations. In addition, genetically engineered mice with endothelial-specific overexpression or knockdown of FGFR2-IIIc were utilized to investigate the impact of FGFR2-IIIc on vascular endothelial senescence and the progression of atherosclerosis. Elevated expression of the FGFR2-IIIc isoform was detected in clinical samples and animal models of aging and atherosclerosis, where it correlated with both EC senescence and atherosclerotic plaque formation. Mechanistically, the alternative splicing-mediated switch from FGFR2-IIIb to FGFR2-IIIc established an FGF2-FGFR2-IIIc autocrine feedback loop, which drove ECs toward a senescence-associated secretory phenotype via the PKC (protein kinase C) ε/STAT3 (signal transducer and activator of transcription) pathway. Senescence-inducing stimuli promoted the binding of the splicing factor hnRNP H1 (heterogeneous nuclear ribonucleoprotein H1) to exon IIIb of the This study reveals that FGFR2 splicing mediated by hnRNP H1 promotes EC senescence and atherosclerosis via an FGF2-FGFR2-IIIc autocrine loop. These findings identify FGFR2-IIIc as a potential therapeutic target for age-related atherosclerosis. Show less
no PDF DOI: 10.1161/ATVBAHA.125.323834
APOE
Chao Peng, Gui-Jing Liu, Jian Li +8 more · 2026 · European journal of pharmacology · Elsevier · added 2026-04-24
Atherosclerosis, a chronic inflammatory disease, is the most relevant cause of ischaemic stroke or myocardial infarction. Vascular endothelial cells (ECs) play a significant role in the development of Show more
Atherosclerosis, a chronic inflammatory disease, is the most relevant cause of ischaemic stroke or myocardial infarction. Vascular endothelial cells (ECs) play a significant role in the development of atherosclerosis. In this chronic inflammatory environment, we aimed to investigate whether a Evolocumab (Evb) could mitigate atherosclerosis progression by inhibiting EC activation via in vivo and in vitro assays. In vivo, we investigated the ability of Evb to prevent atherosclerotic lesion formation in ApoE Show less
no PDF DOI: 10.1016/j.ejphar.2026.178777
APOE
Hongbin Zhang, Li Qiao, Fan Yang +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Elucidating effective components and mechanisms of traditional Chinese medicine (TCM) formulas remains a critical challenge for modernization. ErShiWei RouDouKou Pills (ESWRDK), a Tibetan formula with Show more
Elucidating effective components and mechanisms of traditional Chinese medicine (TCM) formulas remains a critical challenge for modernization. ErShiWei RouDouKou Pills (ESWRDK), a Tibetan formula with cardiovascular potential, lacks systematic exploration of its anti-atherosclerotic (AS) material basis and mechanisms. A novel six-stage cascade focused strategy integrating three-dimensional filtering mode, qualitative characterization, multi-component quantification, anti-AS efficacy, multi-lipidomics and bioactive compounds evaluation was proposed, advancing TCM research by holistic and multi-layered approach. UHPLC-MS combined with mass defect-ion intensity filtering (MD-ITF), DPIs, Nl and FBMN employed for profiling. Nine characteristic components were quantitated. A 12-week high-fat diet was fed to ApoE Firstly, the MD-ITF method and structural classification was established for complicated matrix. Secondly, 426 chemical components including 74 low-abundance were characterized. Thirdly, 9 characteristic components were quantified, and content distribution were profiled. Fourthly, ESWRDK reduced lipids, inflammation, and aortic plaques in AS mice. Fifthly, a total of 38, 23 and 48 differential biomarkers were identified predominantly linked to glycerophospholipids (GP) metabolism. WB confirmed ESWRDK downregulated hepatic PLA2, upregulated p-AMPK/AMPK and PPAR-α, and suppressed SREBP-1, orchestrating and mitigating lipid dysregulation. Finally, dehydrodiisoeugenol and agarotetrol bound PLA2, formed stable 1:1 static quenchingand inhibited PLA2 activity in vitro. A novel six-stage cascade-focused strategy was successfully established to elucidate ESWRDK's anti-AS mechanisms, offering feasible paradigm for advancing modernization of TCM. Show less
no PDF DOI: 10.1016/j.phymed.2026.158052
APOE
Bo Dong, Lu Kou, Jing-Yu Yang +2 more · 2026 · Biological procedures online · BioMed Central · added 2026-04-24
Ferroptosis is an iron-dependent form of necrosis that promotes AS by accelerating endothelial dysfunction in lipid peroxidation. This study aims to investigate the role of deubiquitinase USP7 in ferr Show more
Ferroptosis is an iron-dependent form of necrosis that promotes AS by accelerating endothelial dysfunction in lipid peroxidation. This study aims to investigate the role of deubiquitinase USP7 in ferroptosis of VECs during AS. AS models were established using HFD-fed ApoE USP7, KIAA1429, and NEAT1 were upregulated in mouse AS models and ox-LDL-treated HUVECs. USP7 inhibition attenuated AS pathology and VECs ferroptosis. USP7 deubiquitinated and stabilized KIAA1429, which facilitated YTHDF1-mediated m6A modification to stabilize NEAT1. NEAT1 recruited CTCF to maintain H3K27me3 modification at the SLC7A11 promoter, repressing SLC7A11 transcription and triggering HUVECs ferroptosis. Overexpression of KIAA1429 or NEAT1 reversed protective effects of USP7 inhibition on ferroptosis. USP7 promotes VECs ferroptosis in AS via the KIAA1429/NEAT1/CTCF axis. Show less
📄 PDF DOI: 10.1186/s12575-026-00331-7
APOE
Wang Liao, Qun Yu, Bin Chen +33 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Show more
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Alzheimer's disease patients (mild cognitive impairment to moderate dementia) received biweekly lecanemab (10 mg/kg). A matched Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort served as comparator. Cognitive tests, plasma biomarkers, and optional amyloid/tau positron emission tomography (PET) were assessed over 6 months. Lecanemab significantly attenuated cognitive decline versus ADNI. Plasma Aβ42, Aβ40, phosphorylated tau 217 (p‑tau217), glial fibrillary acidic protein (GFAP), and ratios showed robust changes; a p‑tau217 reduction correlated with amyloid PET clearance (mean -22.1 Centiloid; 29.2% turned amyloid-negative). Apolipoprotein E (APOE) ε4 non-carriers showed greater improvements. Infusion reactions occurred in 11.1% and amyloid-related imaging abnormalities in 9.2% (1.6% symptomatic), with no stage-related safety differences. Lecanemab was effective and well tolerated in real-world Chinese patients. Plasma p‑tau217 may serve as a sensitive, minimally invasive treatment-response biomarker. Show less
📄 PDF DOI: 10.1002/alz.71231
APOE